Automatic decoding of sensor types within randomly ordered, high-density optical sensor arrays
In this paper automatic sensor identification of sensor classes within a high-density randomized array, without a priori knowledge of sensor locations, is demonstrated. Two different fluorescence-based sensor types, with hundreds of replicates each, were randomly distributed into an optical imaging...
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Veröffentlicht in: | Analytical and bioanalytical chemistry 2002-08, Vol.373 (8), p.792-802 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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